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Related Concept Videos

Ethical Issues01:27

Ethical Issues

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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
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Ethical Dilemmas II01:30

Ethical Dilemmas II

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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Ethics and Bioethics01:22

Ethics and Bioethics

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Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...
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Ethical Dilemmas I01:17

Ethical Dilemmas I

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Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
Let us explore some examples to understand the potentially complex moral decisions nurses face.
Take the case of caring for minors, particularly in areas related to reproductive...
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Tissue Transplantation01:24

Tissue Transplantation

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Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...
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Ethics in Research01:56

Ethics in Research

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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A Modified Murine Heterotopic Heart Transplant Protocol Matching Contemporary Standards of Aseptic Technique, Anesthesia, and Analgesia
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Ethics and Algorithms to Navigate AI's Emerging Role in Organ Transplantation.

Amankeldi A Salybekov1, Ainur Yerkos2, Martin Sedlmayr3

  • 1Regenerative Medicine Division, Cell and Gene Therapy Department, Qazaq Institute of Innovative Medicine, Astana 020000, Kazakhstan.

Journal of Clinical Medicine
|April 26, 2025
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Summary

Artificial intelligence (AI) is transforming solid organ transplantation by improving organ allocation and predicting transplant outcomes. This technology enhances patient selection and personalized treatments, leading to better long-term success rates.

Keywords:
artificial intelligencedeep learninggraft failuremachine learningsolid organ transplantation

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Area of Science:

  • Medical Technology
  • Transplantation Surgery
  • Data Science in Medicine

Background:

  • Solid organ transplantation is vital but faces challenges like organ scarcity and graft rejection.
  • Artificial intelligence (AI) offers potential solutions to revolutionize transplantation practices.

Purpose of the Study:

  • To review AI applications in solid organ transplantation, covering diagnostics, treatment, and market trends.
  • To explore AI's role in predicting outcomes, personalizing immunosuppression, and optimizing patient selection.

Main Methods:

  • Review of current literature on AI in transplantation.
  • Analysis of machine learning, deep learning, and generative AI applications.
  • Examination of ethical considerations and FDA-evaluated innovations.

Main Results:

  • AI enhances organ allocation efficiency and accuracy.
  • AI improves the prediction of transplant outcomes and patient suitability.
  • AI facilitates personalized immunosuppressive therapy, boosting transplant success.

Conclusions:

  • AI addresses organ scarcity and improves long-term transplant success.
  • AI is poised to significantly advance the field of solid organ transplantation.